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Decentralised Learning from Independent Multi-Domain Labels for Person
  Re-Identification

Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification

7 June 2020
Guile Wu
S. Gong
    OOD
ArXivPDFHTML

Papers citing "Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification"

30 / 30 papers shown
Title
Style Normalization and Restitution for Generalizable Person
  Re-identification
Style Normalization and Restitution for Generalizable Person Re-identification
Xin Jin
Cuiling Lan
Wenjun Zeng
Zhibo Chen
Li Zhang
OOD
99
331
0
22 May 2020
Unsupervised Person Re-identification via Multi-label Classification
Unsupervised Person Re-identification via Multi-label Classification
Dongkai Wang
Shiliang Zhang
51
363
0
20 Apr 2020
Unity Style Transfer for Person Re-Identification
Unity Style Transfer for Person Re-Identification
C. Liu
Xiaojun Chang
Yi-Dong Shen
63
72
0
04 Mar 2020
Self-training with progressive augmentation for unsupervised
  cross-domain person re-identification
Self-training with progressive augmentation for unsupervised cross-domain person re-identification
Xinyu Zhang
Jiewei Cao
Chunhua Shen
Mingyu You
LRM
59
225
0
31 Jul 2019
Federated Machine Learning: Concept and Applications
Federated Machine Learning: Concept and Applications
Qiang Yang
Yang Liu
Tianjian Chen
Yongxin Tong
FedML
70
2,306
0
13 Feb 2019
Learning Private Neural Language Modeling with Attentive Aggregation
Learning Private Neural Language Modeling with Attentive Aggregation
Shaoxiong Ji
Shirui Pan
Guodong Long
Xue Li
Jing Jiang
Zi Huang
FedML
MoMe
65
141
0
17 Dec 2018
Private Model Compression via Knowledge Distillation
Private Model Compression via Knowledge Distillation
Ji Wang
Weidong Bao
Lichao Sun
Xiaomin Zhu
Bokai Cao
Philip S. Yu
FedML
46
118
0
13 Nov 2018
Improving Deep Visual Representation for Person Re-identification by
  Global and Local Image-language Association
Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association
Dapeng Chen
Hongsheng Li
Xihui Liu
Yantao Shen
Zejian Yuan
Xiaogang Wang
57
134
0
05 Aug 2018
Generalizing Across Domains via Cross-Gradient Training
Generalizing Across Domains via Cross-Gradient Training
Shiv Shankar
Vihari Piratla
Soumen Chakrabarti
S. Chaudhuri
Preethi Jyothi
Sunita Sarawagi
OOD
57
514
0
28 Apr 2018
Domain Adaptation through Synthesis for Unsupervised Person
  Re-identification
Domain Adaptation through Synthesis for Unsupervised Person Re-identification
Sławomir Bąk
Peter Carr
Jean-François Lalonde
98
226
0
26 Apr 2018
Transferable Joint Attribute-Identity Deep Learning for Unsupervised
  Person Re-Identification
Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification
Jingya Wang
Xiatian Zhu
S. Gong
Wei Li
89
570
0
26 Mar 2018
Scalable Private Learning with PATE
Scalable Private Learning with PATE
Nicolas Papernot
Shuang Song
Ilya Mironov
A. Raghunathan
Kunal Talwar
Ulfar Erlingsson
89
613
0
24 Feb 2018
Harmonious Attention Network for Person Re-Identification
Harmonious Attention Network for Person Re-Identification
Wei Li
Xiatian Zhu
S. Gong
49
1,348
0
22 Feb 2018
Differentially Private Federated Learning: A Client Level Perspective
Differentially Private Federated Learning: A Client Level Perspective
Robin C. Geyer
T. Klein
Moin Nabi
FedML
112
1,293
0
20 Dec 2017
Beyond Part Models: Person Retrieval with Refined Part Pooling (and a
  Strong Convolutional Baseline)
Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)
Yifan Sun
Liang Zheng
Yi Yang
Q. Tian
Shengjin Wang
129
2,176
0
26 Nov 2017
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
Longhui Wei
Shiliang Zhang
Wen Gao
Q. Tian
GAN
91
1,667
0
23 Nov 2017
Learning to Generalize: Meta-Learning for Domain Generalization
Learning to Generalize: Meta-Learning for Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
91
1,417
0
10 Oct 2017
Re-ranking Person Re-identification with k-reciprocal Encoding
Re-ranking Person Re-identification with k-reciprocal Encoding
Zhun Zhong
Liang Zheng
Donglin Cao
Shaozi Li
124
1,504
0
29 Jan 2017
Unlabeled Samples Generated by GAN Improve the Person Re-identification
  Baseline in vitro
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
Zhedong Zheng
Liang Zheng
Yi Yang
GAN
67
1,886
0
26 Jan 2017
Semi-supervised Knowledge Transfer for Deep Learning from Private
  Training Data
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data
Nicolas Papernot
Martín Abadi
Ulfar Erlingsson
Ian Goodfellow
Kunal Talwar
73
1,015
0
18 Oct 2016
Federated Learning: Strategies for Improving Communication Efficiency
Federated Learning: Strategies for Improving Communication Efficiency
Jakub Konecný
H. B. McMahan
Felix X. Yu
Peter Richtárik
A. Suresh
Dave Bacon
FedML
286
4,636
0
18 Oct 2016
Deep Learning Prototype Domains for Person Re-Identification
Deep Learning Prototype Domains for Person Re-Identification
Arne Schumann
S. Gong
T. Schuchert
OOD
32
20
0
17 Oct 2016
Deep Attributes Driven Multi-Camera Person Re-identification
Deep Attributes Driven Multi-Camera Person Re-identification
Chi Su
Shiliang Zhang
Junliang Xing
Wen Gao
Q. Tian
CVBM
72
408
0
11 May 2016
Learning Deep Feature Representations with Domain Guided Dropout for
  Person Re-identification
Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification
Tong Xiao
Hongsheng Li
Wanli Ouyang
Xiaogang Wang
OOD
73
977
0
26 Apr 2016
Joint Detection and Identification Feature Learning for Person Search
Joint Detection and Identification Feature Learning for Person Search
Tong Xiao
Shuang Li
Bochao Wang
Liang Lin
Xiaogang Wang
92
822
0
07 Apr 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
375
17,399
0
17 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.8K
193,426
0
10 Dec 2015
FireCaffe: near-linear acceleration of deep neural network training on
  compute clusters
FireCaffe: near-linear acceleration of deep neural network training on compute clusters
F. Iandola
Khalid Ashraf
Matthew W. Moskewicz
Kurt Keutzer
70
302
0
31 Oct 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
302
19,580
0
09 Mar 2015
Qualitatively characterizing neural network optimization problems
Qualitatively characterizing neural network optimization problems
Ian Goodfellow
Oriol Vinyals
Andrew M. Saxe
ODL
105
522
0
19 Dec 2014
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